The Relevance of Informationand Computer Systems #1

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Transcript of The Relevance of Informationand Computer Systems #1

Recommendation Systems that Establish New Forms of Representational Reality: Eliminating the Dividing Line Between Information Emitter and Receptor of Journalistic InformationPh.D Walter Teixeira Lima JuniorCásper Líbero Foundation - BrazilPresentation funded byNew Orleans University - July 12, 2011Centralized MediaTransmission broadcasting systemGatekeepingChoosing the content depends on calibratingthe content to meet the desired responseHierarchyHomogenous Content"the filters of reality"InternetLetters-to-the-editor (newspapers and magazines)Telephone (responding to radio or television)FaxPrecludes any interactionbetween the emitter and the audienceStandard Model of Professsional JournalismLow feedbackDecentralized MediaNetwork communicationsMultidirectional exchange of dataNew Media PlatformsAltered model of relationship between audience and informationSocial MachinesRecommendation SystemsAggregatorsSearch EnginesThese systems collect information on the behavior of individual, including contributions and references provided by other peopleNewsRedditDiggAmazonGoogleUsers discover new information, allowing them to automatically share or recommend the news that they find interestingRecommendation SystemsRS are characterized by the cross-fertilizationof various research fieldsInformation Retrieval, Artificial Intelligence,Knowledge Representation, Discovery andData/Text Mining, Computational Learning, andIntelligent and Adaptive Agents. RS is necessaryfor catering the varied needs and contexts of users,and the different platforms they useGeneral InformationCommercial InformationRelevant Social InformationAlgorithmsAllowsAutomatic ProcessCreateSharingCommentaryEvaluationClassificationRecommendationDisseminationEvaluationClassificationRecommendationDisseminationAllowsColaborationComputer-mediated CommunicationHuman beingNew ecosystem informationThe Relevance of Informationand Computer SystemsConstructing "reality"Two categories of relevance areinteracting on the web’s ecosystemSame platformSystemsHumansAn ecosystem based on algorithms and that evolves through greater "transparency".Big problemUsers find it difficult to differentiate between information produced and edited by human beings, and those ― treated by relevance systems. Only users involved in programming and systems manage to distinguish between them.IntentionalSystems are designed primarily to respond to information that is potentially relevant to peopleRelevance has been around forever,or as long as humans have been communicatingand using information effectivelyBasisCredibilityBuiltCredibility is built over time and has as its basis social relevance.Analog Media is based on information scarcityThanksdigital@walterlima.jor.br